A number of variables affect the rail travel demand. It is true that a scale of economy, quality of rail travel service, fare, time of rail travel, quality of other modes of transport service and so on have significant influences on the rail travel demand. However, no study has been done in Korea so far on what kind of variable has how much influence nor is it rarely known in Korea that how much significance the changes of rail travel service or other modes of transport service have on the rail travel demand. The environment for estimating a mode choice model and a direct demand model is sufficiently prepared in Korea. That is, the monthly ticket sales records data (including passengers and freight) and the train operation data, in case of inter-city rail travel, have been hoarded in a database by Korea Railroad Corporation. These data can give birth to various types of model estimation and provide foundations for scenario analysis under various policy circumstances. The purpose of this study is to estimate the aggregate mode choice model and the direct demand model on the Seoul-Busan and Seoul Honam corridors of the inter-city rail and, then, compare the predictive power of the model with the real result. This article found that time factor on rail demand was more crucial rather than fare factor.

Recently Freeway Traffic Management System has been extended to most freeway sections and puts it to several desirable means dealing with congestion management in Korea. Dynamic OD is necessary demand between on and off-ramps to build the more effective traffic management strategies. To collect the OD demand, Radio Frequency Identification(RFID) should be equipped at the entire on and off-ramps. Nonetheless RFID systems have been partially installed because of the limitation of construction and maintenance costs. The detectors are constructed at the whole section of mainline as an identical gap and ramps. Meanwhile, the current consideration involved with the estimation of freeway dynamic OD matrices have been taken increasing attention through the applicability to on-line traffic management systems. The proposed model focused on solving the bi-level problem between dynamic traffic flow module and dynamic OD estimation module and improving the accuracy of estimation by using VDS and RFID data to add more constraint to the objective function.

As a trend that the size of building is getting larger and more complex, it is essential to introduce guidance system to users to mitigate their confusion. There were several studies for choosing optimal path for the road, but not sufficient studies were conducted for that of the building. Therefore, this study is to develop the system for selecting optimal path from the parking lot to useris destination at certain layer in the building. Not only objective factors such as distance and required time for method of movement, but subjective factors such as fatigue, freshness and preference are considered to decide the optimal path. To define the minimum cost of moving distance, Dijkstra algorithm and evaluation function which is considered human factor are used in this study. Lastly, some scenarios demonstrate the characteristic and originality of selecting optimal path algorithm in this study.

Now, among the many social problems by the car, parking problem is continuously on the rise. To Improve this problem, many policies have been presented, but most alternatives are only concentrated on the demand & supply of parking. In this research, not only demand & supply of parking, but also the cause analysis, the frequency analysis, the correlation analysis for the traffic accidents related to the parking in Suwon are carried out. From these analyses, we can find out that most traffic accidents related to the parking are happened in the night, in the background roads, and at the inflow & outflow parts of the intersections. And the type of roads, the location of the parking are the major causes of the traffic accidents. Based on these results, we conclude that, with demand & supply policies of parking, the one-way traffic, the traffic calming, the automatic parking control must be harmonically performed, for the safe parking civilization.

In last decades, the use of heavy equipment on a construction site has been rapidly increased with the automation of heavy equipment in the construction industry and to meet the demand of mechanization of construction. With the increasing use of heavy equipment on construction sites, the efficiency of heavy equipment operations is concerned. Simulation tool has been acknowledged as an effective tool to improve productivity and reduce cost but there has been limited use in the construction industry. In this article, STROBOSCOPE, a simulation tool, has been applied in five construction sites to verify its applicability to model construction process and usefulness as an alternative selection tool. The various procedures used in the simulation are explained. The results of the simulations based on actual construction sites are described. The results of sensitivity analysis to select best alterative which consider productivity and cost are also discussed.

Private companies will get back their investment by leasing facilities to the government, Since act on private participation in infrastructure were changed in January 2005, BTL(Build Transfer Lease) project of introduced in the domestic construction market for the purpose of providing public facilities with the public. BTL projects is for with approximately project life cycle form plan to maintenance the success of the project totally depends on the capability and role of concessionaire. Accordingly, this study is aimed to improve in order to proceed with BTL project efficiently, a clear standard for the item of Value For Money evaluation was presented and ensure accuracy in computing the VFM was established set up the model.

Earned Value Management System (EVMS) has been chosen to consider expenses for an efficient project management. However, EVMS application on domestic projects is no more than accumulating information about expenses and comparing as-planned and as-built expenditures. One reason why EVMS is not widely used for forecasting project performances is that the existing prediction theory is so simple and linear as to consider only past results of the target project, not reflecting the similar past projects or the particular phase-specific pattern. This paper proposes a model to discover the various facts which affect the fluctuation of construction cost and to suggest the dynamic prediction model of final cost. For this purpose, this study introduced Progress-based S curves (PB-S Curves) to draw cost of targeted project and conducted regression analyses to determine the slope of cost which are broken down into n sectors by the construction progress. By using this method, this study presents more accurate prediction model which reflect a result of similar projects various changing factors.

The Construction projects are becoming larger, more technically complex, more exposed to foreign contractors, and more constrained by a diversity of customer needs. To address the issues of today's construction projects, information technology has been used to develop such systems as CALS (Continuous Acquisition & Life-cycle Support) and PMIS (Project Management Information System). In particular, PMIS has obtained significant interests and investments to streamline the information process of construction projects. However, the efforts required for the continuous maintenance and improvement of PMIS have been confined only to contractors and construction phase, leaving the other phases of project life cycle unaddressed. This paper presents a model to evaluate PMIS of owner companies. The proposed model is based on 18 performance factors and 15 influence factors, in order to understand the cause and effect relationship of various factors surrounding PMIS. Tests show that the model is expected to identify the weakness of PMIS from the owner's perspective so that its continuous maintenance and improvement is facilitated.

As the emergency of value engineering, efforts to create the best value with minimum cost have been made throughout the construction industry.In particular, by introducing valuation at the planning stage of the water pipe underground construction, it is possible to improve the expenses and efforts at the operation and maintenance stage through the selection of adequate type of pipes.Despite the importance of the selection of water supply pipe types based on valuation at the design stage, so far, the decision has been made based on the experience of working-level people and verification on the aspect of normal technology. Therefore, this study is to introduce a process model for the selection of water supply pipe type. This model suggests following four stages; basic engineering evaluation, economic evaluation through LCC, performance evaluation focused on main factors to be considered, and comprehensive evaluation.

The aim of this paper is to explore and estimate the residents fear and anxiousness against flood using contigent value method. For this, we at large classified independent variables to determine residents's willingness to pay against flood into three categories, previous experiences, measures against flood, and respondent's individual characteristics. We employed the accumulative logit model to examine and estimate the odds of variables to impact residents willingness to pay for flood risk. The concluding remarks from the empirical analyses through such model are as follows; It is found that the variables to denote the flood possibilities, necessities against flood measurements and flood insurance, respondents age and housing size are statistically significant predictors to willingness to pay. Particularly, the residents who have revealed high possibilities for flood and have considered the necessities of flood measurements and flood insurance are likely to associate with high willing to pay against flood. These findings provide policy makers related with flood with more valuable information.

The rail maintenance cost is biggest in managing railway facilities. However, little effort has been made with regard to the systematic analysis about this. The advanced data analysis in direct relation to the optimal maintenance strategies is adopted and applied to Seoul metro. It consists of two models such as the defect model and the life-cycle model. Although the life cycle of the rail has been extended practically thanks to the enhancement of rail material, Seoul metro is still using the outdated renewal standard. Thus, Seoul metro is searching for a new renewal standard, and this study provides it. As a result, the economical life span (=renewal interval) of the rail facility was found to be 616 million passing tons. To a certain extent, this is consistent with the existing standard (600 million tons) adopted in Seoul metro. On the other hand, there was a small difference (less than 1%) between the minimum life-cycle cost at 616 million passing tons and the life-cycle cost at 700 million tons. The result provides the rationale for increasing the standard up to 700 million tons, as agencies responsible for operating the Seoul metro have continuously claimed the amendment. The optimal inspection interval was also determined to be 4.2 million passing tons.

The analysis for Soyang-gang basin on the basis of DEM (Digital Elevation Model) and land cover map show highland farming areas cover 48.95, which corresponds to approximately 60% of total farming areas. Main sources of turbid water in the Soyang-gang basin turne out to be Mande-, Jaun-, and Johang stream, being highland farming areas. A soil erosion model experiment, with 48 hour-duration rainfall and cover management factor for highland farming area, shows soil erosion increases by 18.1% of the entire basin and 74.4% for highland farming areas. Soil erosion in the Soyang-gang basin is more probable in highland farming areas, and good care need to be taken for highland farming areas.

This study tries to prove the effectiveness of RTK-GPS surveying method for target area, newly constructed landfill site, by comparing the average of more than 2 measurements using RTK-GPS surveying with T.S. (Total Station) surveying results and making the result map of confirmation surveying for cadastral. According to the results of this study, because several observation stations do not need to be collimated between them in RTK-GPS surveying method, it is not very time consuming to get such a good quality of data and it is also one of the economical surveying method in confirmation surveying for new reclaimed land and land consolidation being acted on topographical features. In order to minimize observation errors within the acceptable range, we confirmed that site calibration was needed for more than 4 known points containing parcel boundary points to be surveyed by RTK-GPS.

Recently soil erosion problem by high rainfall intensity occurs, and approach considering environmental factor is necessary in the selection of suitable cultivation area. This study estimated soil erosion using RUSLE model based on GIS database as soil map, Digital Elevation Model and land cover map, and tried to couple with the analysis result of black raspberry suitability area using AHP (Analytic Hierarchy Process) that is expert system. To estimate the result of black raspberry suitability area considering soil erosion characteristics, this study constructed the current cultivation map of black raspberry in Ssangchi-myeon district and compared with the analysis result of black raspberry by Analytic Hierarchy Process. As the result of analysis, Suitability and Possible area decreased nearly 4.1% and 23.2% respectively, and Non-suitability area increased 24.8%. Therefore, environmental factor by soil erosion is important parameter in the analysis of suitability area of black raspberry.